AI Agents & Orchestration
Meet ADLC
Introducing the ADLC — the Agent Development Lifecycle. The loop that governs how you calibrate AI agents to produce reliable output.
AI Agents & Orchestration
The AI-Powered Developer
How 15 specialized agents go from ADO story to shipped PR — orchestration, context management, quality gates, and drift detection.
AI Agents & Orchestration
Auto Mode Needs a Referee
Author agents enforce quality structurally — rating AI output, retrying on partial passes, and escalating when something is fundamentally wrong.
Tooling & Workflows
Your Agent's Rules Are Probably Wrong
Without a feedback loop, your agent skills teach stale patterns — or worse, propagate security rules that were never right.
Tooling & Workflows
Stop Loading 4,600 Lines Nobody Asked For
The architecture that cut per-session agent context by 85–89% — without losing a single useful rule.
Tooling & Workflows
The Three Layers of Agent Knowledge
Not all agent context is the same. The difference between skills, instructions, and scripts determines whether your agent stays focused.
AI Agents & Orchestration
Match the Model to the Job
Using the most powerful model for everything isn't a strategy — it's expensive and slow. Here's how to match models to tasks.
AI Agents & Orchestration
Specialists Beat Generalists
A single generalist agent doing everything sounds simpler. It isn't. Here's why specialists produce better output and preserve context at handoffs.